Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are looking for Machine Learning Engineers to join our team and help shape the future of train travel. You will join a high-performing, deeply technical community of Machine Learning Engineers, Data Scientists, and Data Engineers to tackle complex problems by combining Trainline’s rich datasets with cutting-edge algorithms. Our team is united by expertise, a passion for our work, and the desire to create impactful solutions supporting Trainline’s goals of encouraging sustainable travel. You will work with fellow ML & AI enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to millions of customers.

Responsibilities

Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers
Design and deliver machine learning models and/or AI solutions at scale that drive measurable impact for Trainline
Own the full end-to-end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance
Partner with stakeholders to propose innovative data products that leverage Trainline’s extensive datasets and state-of-the-art algorithms
Create the tools, frameworks and libraries that enable the acceleration of our ML & AI products delivery and improve our workflows
Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation

Requirements

Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline
Proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)
Have experience productionizing machine learning models and/or AI solutions
Are an expert in one of predictive modelling, classification, regression, optimisation, NLP algorithms or recommendation systems
Have experience with Spark
Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow
Have experience with agile delivery methodologies and CI/CD processes and tools
Have a broad understanding of data extraction, data manipulation and feature engineering techniques
Are familiar with statistical methodologies
Have great communication skills
Experience with transport industry and/or geographical information systems (GIS) (Nice to have)
Experience with cloud infrastructure (Nice to have)
Experience with Large Language Models (fine tuning, RAG, agents) (Nice to have)
Experience with graph technology and/or algorithms (Nice to have)

Skills

Python
Pandas
Numpy
Scikit learn
Spark
Docker
Terraform
ML Flow
CI/CD
DevOps
ML Ops
Predictive modelling
Classification
Regression
Optimisation
NLP algorithms
Recommendation systems
Data exploration
Feature engineering
Model selection
Model tuning
Offline evaluation
Online evaluation
Deployment
Maintenance
Statistical methodologies
Agile delivery methodologies
Large Language Models
Graph technology
Graph algorithms
Geographical information systems (GIS)

Location

London
Paris
Barcelona
Milan
Edinburgh
Madrid

Work Type

Hybrid
Work from abroad policy (28-day)

Education Level

Advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative discipline

Benefits

Private healthcare & dental insurance
Generous work from abroad policy
2-for-1 share purchase plans
EV Scheme
Extra festive time off
Excellent family-friendly benefits
Career growth opportunities
Clear career paths
Transparent pay bands
Personal learning budgets
Regular learning days

About the Company

Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.
Europe’s number 1 downloaded rail app, with over 135 million monthly visits and £6.3 billion in annual ticket sales.
Collaborates with 270+ rail and coach companies in over 40 countries.
Aims to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.
A FTSE 250 company driven by over 1,000 Trainliners from 50+ nationalities.
Focuses on growth in the UK and Europe.
Machine learning and AI are at the core of how Trainline is transforming travel, helping millions of customers make smarter, more sustainable journeys every day.
ML models and AI solutions power advanced search and recommendations, pricing and routing optimisations, personalised user experiences, data-driven digital marketing systems, and AI agents improving customer support.
Machine learning teams own the complete delivery lifecycle from ideation to production.
Works closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline.

Equal Opportunity

We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.